Research Article
A Hybrid EMD-Wavelet EEG Feature Extraction Method for the Classification of Students’ Interest in the Mathematics Classroom
Table 3
MANOVA result of the features of high and low SI students.
| Method | Independent variables | MANOVA |
| EMD-energy | Interest | F (16, 1) = 9.024, , Wilks’ ∧ = 0.007 | Lecture | F (16, 1) = 0.229, , Wilks’ ∧ = 0.214; interaction | DWT-energy | Interest | F (16, 1) = 2.063, , Wilks’ ∧ = 0.029 | Lecture | F (16, 1) = 6.376 , Wilks’ ∧ = 0.010; interaction | Proposed method | Interest | F (10, 7) = 7.275, , Wilks’ ∧ = 0.088 | Lecture | F (10, 7) = 12.818, , Wilks’ ∧ = 0.052; interaction |
|
|